Can ChatGPT Correct Code Based on Logical Steps?

Nao Souma, Waka Ito, Momoka Obara, Takako Kawaguchi, Yuka Akinobu,Toshiyuki Kurabayashi,Haruto Tanno,Kimio Kuramitsu

Asia-Pacific Software Engineering Conference(2023)

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摘要
ChatGPT presents emerging opportunities in software development, yet its capabilities for understanding code remain largely understudied. This study aims to focus on the logical aspect of code comprehension of ChatGPT by examining its performance in detecting and fixing bugs. Our preliminary results suggest that ChatGPT seems to correct code in a different way than human logical steps.
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